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March 14, 2026IET Power Electronics1 citationsOpen Access

Optimized Capacitive Filter Design in DC‐DC Converter Interfaces for Photovoltaic and Fuel Cell Systems

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ÉBÉder BridiMTMateus J. TiburskiEPEdemar O. Prado

Key Points

  • The research aims to optimize capacitive filter design between renewable energy sources and DC‐DC converters to enhance efficiency and reduce volume.
  • Modeling non-idealities of renewable sources like resistances and capacitances.
  • Utilizing harmonic decomposition for current modeling.
  • Iterative process to adjust capacitance values for filters.
  • Achieved a maximum error of 6.48% between theoretical predictions and experimental measurements.
  • Proposed design reduces input filter capacitance compared to conventional approaches.
  • Improved maximum power point tracking in analyzed conditions.

Abstract

ABSTRACT This paper presents a methodology to design interface capacitive filters between renewable energy sources, such as photovoltaic systems and fuel cells, and DC‐DC converters. The proposal aims to reduce the volume resulting from the filter and improve the efficiency of the system. The modeling considers the non‐idealities of renewable sources, such as resistances, capacitances, and possible inductances, and evaluates the impact of both continuous and pulsed currents supplied by the source. These current oscillations can compromise the maximum power point tracking (MPPT) capability and reduce the energy transferred, as well as increase the volume and cost of the filter. Furthermore, pulsed currents can cause degradation in fuel cells as a result of the generation of double‐layer charges and increased electrochemical stress, reducing the overall lifetime and efficiency. The proposed methodology uses harmonic decomposition to model currents and optimize filter design, along with an iterative process to adjust the capacitance value, allowing a reduction in the input filter capacitance across all evaluated conditions, compared to the conventional approach, and preventing oversizing of the capacitive filter. The experimental validation of the mathematical model and the capacitive filter design confirms the accuracy of the theoretical predictions, presenting a maximum error of 6.48% between the theoretical and experimental measurements.

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Cite This Study

Bridi et al. (2026) studied this question.

synapsesocial.com/papers/69b4adb518185d8a398016eehttps://doi.org/10.1049/pel2.70186
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